This article focuses on fuzzy formula search scenarios for batch content replacement in Word, explaining how to use HeSoft Doc Batch Tool to perform regular expression replacements on multiple docx files. In the example, 1.docx to 6.docx are imported first, then the "Find and replace keywords in Word" function selects "Use formula for fuzzy text search," with two rules matching three uppercase letters and numbers, replacing them with A and B respectively. The article provides a complete explanation, from applicable scenarios and before-and-after effects to operational steps and notes, making it suitable for users who need to batch-standardize Word document content.
Many batch modification tasks in Word documents seem simple, but the actual operation is quite tedious. For example, a folder contains multiple docx files, each containing English abbreviations, numbers, numbers, or other keywords that need to be processed uniformly. You may not just want to replace a specific word, but rather replace "content that conforms to a specific format" in its entirety. In this case, relying solely on Word's built-in find and replace makes the operation repetitive and inefficient.
This article introduces a more suitable approach for batch office tasks: using the "Find and Replace Keywords in Word" feature in HeSoft Doc Batch Tool , combined with the "Use formula to fuzzy find text" option, to perform regular expression wildcard replacements on multiple Word files. HeSoft Doc Batch Tool is an office software focused on batch document processing needs, suitable for reducing repetitive work and improving document organization, cleansing, and standardization efficiency.
Applicable Scenario: When You Need to Find Word Keywords by Rules
Formula-based fuzzy finding is suitable for scenarios where "targets are not fixed, but the pattern is clear." For example, you want to replace all three-letter uppercase English abbreviations; hide all numbers in a document; uniformly change a type of numbering to placeholders; or uniformly process codes across multiple training materials, contract templates, and project descriptions. As long as the target text can be described by a formula, you can try to use this method for batch finding.
In actual office work, this need is common in tasks such as data desensitization, template standardization, cleaning up legacy fields, organizing English materials, and batch generating external versions. For instance, internal documents contain project codes and time figures that need to be uniformly replaced before external distribution; or a batch of Word templates contain residual old abbreviations that need to be uniformly processed into new identifiers. Handling these tasks by manually opening each docx file is prone to missed changes, incorrect changes, and version confusion.
The significance of using a batch processing tool lies in transforming the action of "finding one by one file, one by one location" into a workflow of "importing files, setting rules, and executing in batch." The more files there are, the more obvious the time savings.
Preview of Effects: Word File List Before Processing
The processing objects in this example are a group of docx files. The screenshot before processing shows that the folder contains six Word documents: 1.docx, 2.docx, 3.docx, 4.docx, 5.docx, 6.docx. They need to apply the same set of find-and-replace rules.
This scenario is very typical: the number of files is not necessarily huge, but if the same replacement action must be repeated for each file, it consumes a lot of time. Not to mention that in real work, the number of files to process might not be 6, but dozens or hundreds.
Preview of Effects: Target Keywords in Documents Before Processing
Opening one of the Word documents shows multiple items in the body text that need processing. The BOT in the title, the ELA in the body, and the 60 hours in the sentence are the objects of focus in this example. The red arrows in the screenshot point to this content, making it easy to understand the state before replacement.
Looking at the text patterns, BOT and ELA are both continuous sequences of 3 uppercase letters; 60 is a number. This means that although they are not the same fixed word, they can be summarized into two types of rules. This is precisely where regular expression wildcard formulas come into play.
Preview of Effects: Keywords Changed According to Rules After Processing
The screenshot after processing shows that the relevant content in the document has been replaced according to the settings. The original three-letter uppercase words were replaced with A, and digits were replaced with B. Multiple matching contents at the beginning of titles, within paragraphs, inside brackets, and in lists have all changed.
This indicates that through formula-based fuzzy finding, the software did not just find a specific word but identified a class of text based on rules. For tasks requiring batch standardization of Word content, this method is more flexible than listing every single keyword.
Operation Step 1: Open Software and Enter Word Batch Processing Function
After launching HeSoft Doc Batch Tool , different types of tool categories can be seen on the left, including Word tools, Excel tools, PowerPoint tools, PDF tools, etc. Since this process deals with Word documents, select "Word Tools" on the left. In the function card area, find "Find and Replace Keywords in Word."
The description of this feature is to batch find and replace keywords in Word file content. For the needs of this article, it is the most direct entry point. After clicking to enter, the software will present a step-by-step processing page, making it convenient for users to complete batch tasks following the workflow.
Operation Step 2: Import Multiple Word Files and Confirm Records
After entering the function page, the first step is to select the records to be processed. The top of the interface provides "Add Files" and "Import Files from Folder." If the docx files to be processed are concentrated in the same folder, using "Import Files from Folder" is usually more convenient; if only a few specific files are needed, "Add Files" can be used.
The screenshot shows 6 files have been imported, and the list displays the file name, path, extension, creation time, and modification time. The bottom summary shows the record count as 6. This confirmation step is very important because if the batch processing targets are selected incorrectly, the subsequent rules will be applied to the wrong files.
At this step, it is recommended to check whether the file names are complete, the paths are correct, and extensions meet expectations. If incorrect imports are found, the corresponding records can be deleted in the operation column, or "Clear" can be used to re-import. Click "Next" after confirming everything is correct.
Operation Step 3: Select Fuzzy Formula Search in Find Options
The second step enters "Set Processing Options." In the "Find Method" area, two options can be seen: "Exact Text Find" and "Use formula to fuzzy find text." This example selects "Use formula to fuzzy find text" because the items to process are content with patterns like uppercase abbreviations and numbers.
If "Exact Text Find" were chosen, specific keywords like BOT or ELA would need to be entered. But this only handles the listed words. If other three-letter uppercase abbreviations exist in the document, they would need to be added, increasing maintenance costs. After selecting formula-based fuzzy finding, a single formula can be used to match a whole class of text, which is suitable for batch processing.
Operation Step 4: Fill in the Formula Rules to be Found
In the "Keyword List to Be Found" on the left, the example has filled in two rules. Row 1 is [A-Z]{3}, used to match 3 consecutive uppercase letters. Row 2 is \d+, used to match one or more digits.
These two rules correspond to the two types of content in the documents. [A-Z]{3} can match abbreviations like BOT, ELA; \d+ can match numbers like 60, 2, 5. Through this setup, users do not need to enter the specific texts BOT, ELA, 60 individually; instead, the software finds them automatically based on the formulas.
When filling in formulas, try to match the actual requirements as closely as possible. If a rule is too broad, it might match content you don't intend to process; if it is too narrow, it might miss target keywords. Therefore, it is best to test with representative documents before formal batch processing.
Operation Step 5: Fill in the Content to Replace With
The "Keyword List After Replacement" on the right is used to fill in the replacement results. In the screenshot, row 1 is filled with A, and row 2 is filled with B. They correspond to the search rules in row 1 and row 2 on the left, respectively. Therefore, three-letter uppercase words will be replaced with A, and digits will be replaced with B.
This correspondence is the most error-prone part of batch replacement. After filling it out, it is recommended to check row by row from left to right: what is found in row 1, what it is replaced with in row 1; what is found in row 2, what it is replaced with in row 2. Do not only check if content is filled in but also whether the positions match.
The right side in the screenshot also indicates "Leaving empty means deleting." This means that if the replacement content for a row is empty, the corresponding matches might be deleted. This hint is useful for tasks that need to clean up certain types of content; but if your goal is replacement, not deletion, you must ensure the right side of the corresponding row is filled.
Operation Step 6: Proceed to Save Location and Start Processing
After completing the rule settings, click "Next" at the bottom of the page. The top workflow steps show that subsequent steps include "Set Save Location" and "Start Processing." It is recommended to save the output files to a new directory to avoid directly overwriting the original documents. Especially when using regular expressions, keeping the original files can mitigate risks caused by incorrect replacements.
After setting the save location, enter the start processing step and execute the batch task. Once processing is complete, you can open the Word documents in the output folder for review. It is recommended to first check files containing typical content, such as documents with uppercase abbreviations and numbers in both titles and body text, followed by spot-checking other files to confirm that the processing results are consistent.
Common Questions and Notes
1. Is formula-based fuzzy finding equivalent to regular expressions? Judging from the input examples in the screenshot, users can use formulas like [A-Z]{3}, \d+ to describe matching rules. In practical use, verification should be done by combining the "Help" prompts in the software interface with your own sample documents.
2. Why did some positions become A and others B after processing? Because two search rules and two replacement results were set up. The first rule matches three-letter uppercase words and replaces them with A; the second rule matches digits and replaces them with B.
3. How to avoid replacing numbers that shouldn't be changed? Do not use overly broad number rules without understanding the document content. \d+ matches one or more digits and has a broad range. If you only want to process numbers in a specific position or format, a more precise rule should be designed.
4. Is a backup needed before batch replacement? Backing up is highly recommended. Batch file processing is very efficient, but once a rule is wrong, the scope of impact expands. Outputting results to a new save location is a relatively safe approach.
5. Can more rules be added? Judging from the interface list format, multiple search and replace rules can be maintained by rows. When adding rules, maintain left-right row correspondence and check carefully before processing.
Summary: Making Batch Standardization of Word Content More Efficient
Using regular expression wildcard formulas to batch replace keywords in Word can effectively solve the problem of modifying patterned text across multiple files and multiple locations. HeSoft Doc Batch Tool , through the process of file import, processing option setup, save location setting, and start processing, transforms the originally repetitive manual operation into a one-time batch task.
In the example in this article, 6 docx files were processed using two rules: [A-Z]{3} matched three-letter uppercase words and replaced them with A, and \d+ matched digits and replaced them with B. If you frequently need to modify keywords, numbers, abbreviations, or sensitive information in Word, docx, or doc documents, you can first prepare a small number of sample documents to test the rules, then execute them in batch after confirming they are correct. This approach improves efficiency while maintaining consistency in document processing results.